Fellowship Application Questions
Yes, here is a link to the application questions so you can prepare your response to each question before you submit the application.
January 31, 2024 @ 11:59 PM PST.
Given the nature of the training, priority will be given to early-career scholars who have already earned their PhDs. However, if you are an advanced graduate student with strong quantitative methods training and research questions that fit with mixture modeling, you are welcome to apply.
Yes. If you are a citizens or non-citizen nationals of the United States, or who have been lawfully admitted to the United States for permanent residence (i.e., possess a currently valid Alien Registration Receipt Card I-551, or other legal verification of such status; you are eligible to apply.
No. Due to space limitations and our citizenship requirement, the course is open only to applicants who are citizens or non-citizen nationals of the United States, or who have been lawfully admitted to the United States for permanent residence (i.e., possess a currently valid Alien Registration Receipt Card I-551, or other legal verification of such status).
Yes. We will evaluate each application on its own merits. Applicants who meet the eligibility requirements and selection criteria will be accepted on a first come, first served basis.
We expect applicants to have familiarity with R and RStudio. All labs in the workshop will be conducted using R/RStudio. Therefore, we will provide admitted participants with materials to learn the essentials of R/RStudio before the workshop. This training should take between 4-8 hours and can be completed over several weeks.
We do not expect you to be familiar with Mplus.
At a minimum, participants should have completed a regression course, though ideally other quantitative methods courses as well.
No, participants do not need to have applied mixture modeling before attending the training. The ideal applicant is one that plans to conduct mixture modeling in the near future, either as project PI or as an analyst.
Applications due January 31, 2024
Questions About Training
Each cohort will consist of 12 scholars. There will be two cohorts.
Selection will occur by February 28, 2024. You will be notified via email if you are selected and must confirm your attendance via email by March 1, 2024. If we do not hear from you by this date, we will offer your spot to another applicant.
There are currently no plans to offer IMMERSE again.
Attending the workshop is generously sponsored by the Institute of Education Sciences and is free to participants. Participants will be asked to cover travel, but if support is needed support will be covered for airfare, hotel, and per diem for the travel to UCSB.
Yes. The primary mixture modeling software used by the training fellows will be Mplus as it is the leading mixture modeling software package with full capabilities for all models covered in this training. We will provide a one-year license to Mplus for each training fellow to use during the duration of their training year. In addition, fellows will be trained to use R/RStudio and MplusAutomation to organize their work.
The pre-training will occur in May 2024. There will be a combination of 2-hours of synchronous activities and 2-hours of asynchronous activities.
he in-person training will be four full days (June 3-6, 2024 from 9:00-5:30 PM) at the University of California, Santa Barbara. Selected fellows are expected to attend this in-person training. If needed, IES is providing funding with travel and accommodation. It is expected that fellows will complete the virtual pre-training prior to attending the in-person training.
You are responsible for arranging your travel to the University of California, Santa Barbara. If needed, there is a specified amount of funds to reimburse your travel to and from Santa Barbara. Instructions on the reimbursement process will be provided.
The cost of travel to the University of California, Santa Barbara is not covered. If needed, however, there is a specified amount of funds to reimburse your travel to and from Santa Barbara, including lodging. Instructions on the reimbursement process will be provided to accepted fellows.
We will arrange for your hotel accommodations while in Santa Barbara. The project will reserve four nights at the Club and Guest House at the University of California, Santa Barbara (check-in on Sunday, June 4, 2023; check-out Thursday, June 8, 2023). If you wish to extend your stay beyond these 4 nights, please contact the Club and Guest House directly to pay for this on your own.
If needed, the project will pay for four nights at the Club and Guest House at the University of California, Santa Barbara (check-in on: Sunday, June 4, 2023; check-out on: Thursday, June 8, 2023). You will be asked to provide a credit card when you check-in if you incur any incidental charges. The Club House is walking distance to the location of the training.
You are responsible to pay for your own meals. A continental breakfast is available at the hotel and two working lunches will be funded by the project. You will be responsible for all other meals.
Yes, but at your own expense. Spouses and partners are not able to attend the workshops.
The workshop is intended to be intensive. Therefore participation at all events is required.
Participants will need to bring a laptop with them. R and RStudio will need to be downloaded (we will send directions upon acceptance).
Dress is casual, though the conference facilities can be chilly. We suggest wearing layers.
Mentoring starts in July 2024 and will end in May 2025. This is an opportunity for you to participate in virtual presentations by educational researchers who have used mixture modeling in their research. In addition, there are weekly office hours and monthly one-on-one meetings with project staff to support your application of mixture modeling to your own research. You can also send emails to the project team at any time and someone will respond within 2 business days.
During the year-long mentoring, you should carry out the application of mixture modeling to your own research questions. This will include framing the research questions and conducting the analysis using your own data. You can expect to end the year with a written product such as a conference proposal or a manuscript to submit to a peer-reviewed publication.
The project team will be available to support your application of mixture modeling to your research questions. This includes helping you frame your research questions and conduct mixture modeling using your data. We are also available to support you to create a written product such as a conference proposal or a manuscript to submit to a peer-reviewed publication.
If you are accepted to IMMERSE, you will have access to the course materials if you are not able to attend. There are also mixture-modeling materials that we will create that are available to everyone (whether or not you were accepted to the training program).
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